MFLUX is a native MLX implementation of generative image models that runs locally on Mac computers. It is for generating images with supported models through command-line tools or a Python API. The catalogue skills and instruction support workflows built around these image-generation models.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/mflux-community/mflux/agents-mdgit clone --depth 1 https://github.com/mflux-community/mfluxWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/mflux-community/mflux/agents-md)<a href="https://agentmods.dev/instructions/mflux-community/mflux/agents-md"><img src="https://agentmods.dev/badge/instructions/mflux-community/mflux/agents-md.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00023 | $0.00023 |
| Opus 5 | $0.00012 | $0.00012 |
| Sonnet 5 | $0.00005 | $0.00005 |
| Haiku 4.5 | $0.00002 | $0.00002 |
Grade A, and why
mflux AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Agent notes (mflux)
Primary guidance for agents lives in:
.cursor/rules/RULE.md
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 6 lines · 23 tokens per session scan A 9f48c6af81bd
mflux AGENTS.md is an instructions file published in the GitHub repository mflux-community/mflux (2,306 stars, last pushed 2d ago), licensed MIT. It adds 23 tokens to every session, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
RAGLight CLAUDE.md
Claude Code instructions for Bessouat40/RAGLight, covering claude.md, commands, install dependencies, run all tests and run a single test module.
unsloth-buddy AGENTS.md
AGENTS.md instructions for TYH-labs/unsloth-buddy, covering unsloth-buddy — agent definition, role, activation, how to run and lifecycle (7 phases + demo).
mlflow AGENTS.md
AGENTS.md instructions for mlflow/mlflow, a project described as: The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
mlx-porting-skill AGENTS.md
AGENTS.md instructions for Amal-David/mlx-porting-skill, covering contributor instructions, optional superplan operating contract and mlx model porting requests.
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.